Local Features. DFT assumes a global convolution applied on periodic images, which is not typically true for real-world images. To compensate local features and non-periodic boundaries, we can add a residual term \(x_{m,n}\)  (can also be parameterized as a simple local convolution) to the token demixing step 3 in FNO; see also [1]}.
